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Dataset Information

Computational discovery and functional validation of novel fluoroquinolone resistance genes in public metagenomic data sets.


ABSTRACT:

Background

Fluoroquinolones are broad-spectrum antibiotics used to prevent and treat a wide range of bacterial infections. Plasmid-mediated qnr genes provide resistance to fluoroquinolones in many bacterial species and are increasingly encountered in clinical settings. Over the last decade, several families of qnr genes have been discovered and characterized, but their true prevalence and diversity still remain unclear. In particular, environmental and host-associated bacterial communities have been hypothesized to maintain a large and unknown collection of qnr genes that could be mobilized into pathogens.

Results

In this study we used computational methods to screen genomes and metagenomes for novel qnr genes. In contrast to previous studies, we analyzed an almost 20-fold l

SUBMITTER: Boulund F 

PROVIDER: S-EPMC5581476 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature